Relation’s Post

Have you read the latest chapter of the National Center for Advancing Translational Sciences (NCATS) Assay Guidance Manual yet? It focuses on practical #MachineLearning applications for image-based phenotypic profiling. Learn about the benefits of Machine Learning for screening, and find detailed instructions of how it can be used for the identification of morphologically complex processes. We are very excited and proud that #StratoMineR is part of this chapter, helping biologists to easily use Machine Learning for their analyses. Read it here: https://lnkd.in/d3hh-wDd

Last week, Quantum-Si made waves in the scientific community with a major update to our #Platinum® Analysis Software, reinforcing our commitment to revolutionizing biology through Next-Generation Protein Sequencing™ (NGPS). John Vieceli, Ph.D., SVP of Product Development, shares the details of our latest enhancements in this blog that describes how the #QSI team is harnessing the power of artificial intelligence (#AI)to train a model that is generating a vast database of kinetic signatures and allowing researchers to move at the speed of reality. Read more here: https://lnkd.in/gp-4EF_k #QuantumSi #Proteomics #NGPS #Innovation #ScienceMatters #KineticSignatures

AlphaFold 3 has made significant advancements in the field of structural biology by providing highly accurate predictions of biomolecular structures, including DNA, RNA, and ligands. This leap forward is largely due to its enhanced ability to account for interactions between a wide range of molecules, which is crucial for drug discovery and understanding complex biological mechanisms. This new version not only predicts protein structures with high precision but also extends its capabilities to simulate interactions within larger molecular assemblies, potentially transforming how new medications are designed by providing insights into the molecular basis of diseases. https://lnkd.in/guciGc8d

Bioinformatics is the bridge between science and technology that helps to make sense of the intricacies between genes, #proteins, and life itself. By processing thousands of data points in minutes (the science), an #algorithm (the technology) is able to create a hierarchical cluster and principal component analysis to unveil hidden patterns. With #bioinformatics, we’re able to study complex systems with thousands of moving parts simultaneously, revolutionizing the medical field. Learn more about the science behind our technology here: oncohost.com/science #NSCLC #lungcancer #personalizedmedicine #LCSM

Amplifying to a larger audience _ "Spatially resolved multiomics" in Nature Methods. It's time for a wonderful consilience (where worlds collide). A mantra for me has become "All-of-the Omics !" . None of us has the luxury of provincial myopia anymore. My 'diary' as the Brits would say is full of converts these days. 💡 LC-MS groups are learning about the importance of complementary targeted immunoassay panels to add depth of findings in the low abundance end without the challenges of depletion (#cytokines) 💡 Genetics groups (who have never traveled beyond transcript) are discovering the beautiful work of biology's "worker bees" (#proteins) 💡 Single Cell transcriptomics groups are adding a functional component to their phenotypic models (#cellularFunctions and #diseaseMechanisms) 💡 Mouse (and smaller-than-human-baby primates) are stretching their precious aliquots by getting 100's-1000's of proteins from <7uL of sample (#elucidation, #transformative #DriedBlotSpots) The future is bright A N D the brightest "label" has no autofluorescence and is dependent upon unique DNA barcodes (#ImmunoPCR)

The first meeting of the new generation of Dutch HD and SCA1 and SCA3 PhD students within our NWA-ORC consortium CureQ. They will be generating and examining isogenic celllines and biobanks with different CAG repeats, combine data sets to generate AI models to improve determination of age-of-onset, develop and validate new therapeutic startegies, and formulate the conditions for a morally acceptable implementation of the results in society.

Let’s kick off a series of #multiomics based round table discussions ! We will learn from the experts! Happy to have your thoughts and contributions Stay tuned! #ai #machinelearning #crowdsource #learning #olinkproteomics #transcriptomics #genomics #epigenomics See comment below for the participation👇👇👇👇

Discover a new era of efficiency and precision in your laboratory with our Microscoop system specifically designed for large-scale, image-guided protein isolation. Bid farewell to the bottleneck of amplification in proteomic studies, a challenge akin to the absence of PCR in genomics. Our integration of automation and artificial intelligence sidesteps this obstacle, offering a powerful approach to protein isolation with subcellular accuracy. Now you can navigate the complexity of the proteome with confidence, powered by methods that excel in high-content protein extraction coupled with mass spectrometry for precise identification. Learn More: https://lnkd.in/dkAG7ddT #AI #Automation #ProteomicDiscovery

🚀 Welcome back to your weekly dose of AI news for Life Science with Kiin AI! Here’s what we have for you this week: 📌 Streamlining Drug Discovery with SPARROW (Jenna Fromer) 🧪 📌 The impact on clinical success from the 23andMe cohort (Xin Wang) 💊 📌 Life Science tools of the week, including nuclei.io (Imaging from James Zou; Macrocyclic peptide design from Xiaopeng (Charles) Xu; Molecular Representation from Gang Liu) 🛠️

Yes, 1st paper on Stella has been published on bioRxiv, from Prof Searle and others. Looks like the raw data has been opened, let us see how PEAKS will handle this 😁